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Experience: 5–7 Years | Location: Bangalore | WorkMode: Hybrid
Role Overview
We are looking for a skilled Agentic Engineer / Data Scientist with hands-on experience in designing, architecting, and developing advanced agentic systems and intelligent solutions. The ideal candidate will have a strong foundation in modern AI frameworks and experience building scalable, production-grade AI systems.
Key Responsibilities
Job ID: 152601753
Skills:
Java, Google Cloud, AWS, Enterprise Security, Python, Azure, Iam, sandboxing, Go, Langraph, GoogleADK, LangChain, rbac, A2A protocols, cloud-native DevOps practices
Skills:
Docker, Testing, Git, Kubernetes, vector databases, knowledge retrieval systems, modern software development practices, Autogen, development frameworks, Advanced Python programming, NLP techniques, RAG pipelines, semantic search, agent alignment, LangChain, embedding models, information retrieval concepts, Anthropic, prompt engineering, safety considerations, Crew.ai SK, LLM optimization techniques, async programming, OpenAI
Skills:
Api Integration, Python, LLMs, agentic frameworks, fine tuning techniques, AI ML frameworks, Planning Systems, ethical AI principles, AutoGen, LangChain, reasoning algorithms, CrewAI, safety mechanisms, reinforcement learning, tool augmentation, prompt engineering
Skills:
GenAI, Agentic, LangChain Ecosystem, Classical ML
Skills:
Typescript, Git, Microservices, Python, Nlp, Restful Apis, Structured outputs, LlamaIndex, Prompt Engineering, Azure OpenAI, Weaviate, LangChain, AWS Bedrock, Embeddings, Pinecone, Zero-shot prompting, LangGraph, Few-shot prompting, LLM-based application development, ChromaDB, SageMaker, Function tool calling, GraphQL APIs, Agentic AI, FAISS, Google Vertex AI, Generative AI, Transformers